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Critical evaluation of transit policies in lima,Peru;resilience of rail rapid transit(Metro)in a developing country

Green Energy and Intelligent Transportation 2024年第5期3卷 23-33页

作者： Manuel jose Martinez Representante legal Instituto de Avance del Transporte Peruano EIRLCalle Schrader 179dpto.202Lima 41San BorjaLimaPeru

This paper evaluates rail transit within the context of the transit policies implemented in lima,*** it reviews the implementation of rapid transit,and bus ***,it evaluates the outcomes of such policies by using Total Factor Productivity for policy effectiveness,Data Envelopment Analysis for rapid transit performance,and Generalized Cost of Travel for *** paper finds that implementation failed in enforcing key requirements for rail transit regarding penetration of CBD and short transfers to bus transit;and that the basic assumptions of bus reform did not hold regarding bus oversupply,bus congestion or bus *** paper also finds that outcomes of policies failed dramatically in achieving the planning goals;however,rail transit(Metro)shows high level of resilience in serving large ridership at high *** the other hand,bus reform was associated with a disproportionate increase of motorization,well over the effect of income growth or car attractiveness,and more related to the excessive reduction of bus transit capacity ill-advised from unproved bus reform *** paper recommends expanding rail rapid transit due to its intensive use of green renewable energy and its potential of demand growth if combined with modern Intelligent Transportation services,but this opportunity can be wasted without the proposed policy constraint to achieve lower Generalized Cost of Travel at any governmental intervention for bus reform,instead of just reducing bus transit capacity as ***,this paper recommends government to government contracts to build rail transit and to enforce proper planning.

关键词： Public transportation Bus rapid transit Rail transportation Bus transit Developing countries Resilient

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Unraveling the interaction between soil microbiomes and their potential for restoring polluted soils

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Frontiers of Environmental Science & Engineering 2024年第8期18卷 149-151页

作者： Carlos O.lomeli-Ortega Mingming Sun jose luis Balcazar Catalan Institute for Water Research(ICRA-CERCA) Girona 17003Spain University of Girona Girona 17004Spain Soil Ecology laboratory College of Resources and Environmental SciencesNanjing Agricultural UniversityNanjing 210095China

Soils are not exempt from anthropogenic pollution,which can eventually cause disturbance of the microbial communities and areas without any kind of *** soil microbiota,bacteria play an important role in pollutant degradation,enabling them to thrive in contaminated *** this,several techniques have been used to increase the number of pollutantdegrading bacteria in situ or for subsequent ***,bacteriophages exhibit a high tolerance to pollutants and enhance bacterial metabolic activity through phage-encoded auxiliary metabolic genes(AMGs),thereby augmenting their skills for nutrient assimilation,resistance to phage infection,antibiotic resistance,heavy metal resistance,and degradation of pesticides and xenobiotics,among *** phage-encoded AMGs have been described during the last few years,but their diversity,distribution,and function have not been extensively explored,warranting further ***,we highlight soil microbiome interactions,especially bacterium and phage interactions to understand this unexplored world with a high potential for restoring polluted soils.

关键词： Auxiliary metabolic genes Microbiome Pollutants Soils Viruses

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Review of MXenes as a component in smart textiles and an adsorbent for textile wastewater remediation

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Chinese Chemical letters 2024年第2期35卷 208-222页

作者： Kaniz Farhana Kumaran Kadirgama Abu Shadate Faisal Mahamude Rajan jose Department of Apparel Engineering Bangladesh University of TextilesDhaka 1208Bangladesh Faculty of Mechanical and Automotive Engineering Technology Universiti Malaysia Pahang26600 PekanPahangMalaysia Center of Automotive Engineering Universiti Malaysia PahangMalaysia College of Engineering Universiti Malaysia Pahang26300 GambangPahangMalaysia Faculty of Industrial Sciences & Technology Universiti Malaysia Pahang26300 KuantanMalaysia Center of Intelligent Materials Universiti Malaysia Pahang26300 KuantanMalaysia

Two-dimensional(2D)MXenes have emerged as an archetypical layered material combining the properties of an organic-inorganic hybrid offering materials sustainability for a range of *** surface functional groups and the associated chemical properties'tailorability through functionalizing MXenes with other materials as well as hydrophilicity and high conductivity enable them to be the best successor for various applications in textile industries,especially in the advancement of smart textiles and remediation of textile ***-based textile composite performs superb smartness in high-performance wearables as well as in the reduction of textile dyes from *** article critically reviews the significance of MXenes in two sectors of the textile ***,we review the improvement of textile raw materials such as fiber,yarn,and fabric by using MXene as electrodes in supercapacitors,pressure ***,we review advancements in the removal of dyes from textile wastewater utilizing MXene as an absorbent by the adsorption ***-based textiles demonstrated superior strength through the strong bonding between MXene and textile structures as well as the treatment of adsorbate by adsorbent(MXene in the adsorption process).We identify critical gaps for further research to enable their real-life applications.

关键词： Textile fibers Industrial wastewater treatment MAX phases Hybrid electrodes Adsorption

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A Tutorial on Federated learning from Theory to Practice:Foundations,Software Frameworks,Exemplary Use Cases,and Selected Trends

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 824-850页

作者： M.Victoria luzón Nuria Rodríguez-Barroso Alberto Argente-Garrido Daniel Jiménez-lópez jose M.Moyano Javier Del Ser Weiping Ding Francisco Herrera Department of Software Engineering Andalusian Research Institute in Data Science and Computational Intelligence(DaSCI)University of GranadaGranada 18071Spain Department of Computer Science and Artificial Intelligence Andalusian Research Institute in Data Science and Computational Intelligence(DaSCI)University of GranadaGranada 18071Spain Department of Communications Engineering University of the Basque Country(UPV/EHU)and also with TECNALIABasque Research&Technology Alliance(BRTA)Spain School of Information Science and Technology Nantong UniversityNantong 226019China

When data privacy is imposed as a necessity,Federated learning(Fl)emerges as a relevant artificial intelligence field for developing machine learning(Ml)models in a distributed and decentralized *** allows Ml models to be trained on local devices without any need for centralized data transfer,thereby reducing both the exposure of sensitive data and the possibility of data interception by malicious third *** paradigm has gained momentum in the last few years,spurred by the plethora of real-world applications that have leveraged its ability to improve the efficiency of distributed learning and to accommodate numerous participants with their data *** virtue of Fl,models can be learned from all such distributed data sources while preserving data *** aim of this paper is to provide a practical tutorial on Fl,including a short methodology and a systematic analysis of existing software ***,our tutorial provides exemplary cases of study from three complementary perspectives:i)Foundations of Fl,describing the main components of Fl,from key elements to Fl categories;ii)Implementation guidelines and exemplary cases of study,by systematically examining the functionalities provided by existing software frameworks for Fl deployment,devising a methodology to design a Fl scenario,and providing exemplary cases of study with source code for different Ml approaches;and iii)Trends,shortly reviewing a non-exhaustive list of research directions that are under active investigation in the current Fl *** ultimate purpose of this work is to establish itself as a referential work for researchers,developers,and data scientists willing to explore the capabilities of Fl in practical applications.

关键词： Data privacy distributed machine learning federated learning software frameworks

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Design of a Socially Inclusive Climate Risk Transfer Mechanism: A Case Study in la Guajira, Colombia

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INTERNATIONAl JOURNAl OF DISASTER RISK SCIENCE 2024年第4期15卷 565-578页

作者： lopera, Cristian Camilo Fernandez Mendes, jose Manuel Barata, Eduardo Jorge Univ Coimbra Inst Interdisciplinary Res Ctr Social Studies P-3000995 Coimbra Portugal Univ Coimbra Fac Econ Ctr Social Studies P-3000995 Coimbra Portugal Univ Coimbra Fac Econ CeBER P-3004512 Coimbra Portugal

The primary aim of this study was to develop a model of a socially inclusive climate risk insurance (CRI) mechanism based on the differential risk transfer approach. This study focused on the department of la Guajira, Colombia, as a case study. la Guajira is the department in Colombia that, due to its critical disaster risk conditions, presents the adequate configuration for implementing a climate risk transfer mechanism. The article starts by analyzing risk conditions by using secondary data. Based on fieldwork, this research explored the perspectives of the most vulnerable sectors in la Guajira Department on the socioeconomic impacts and needs they experience regarding climate-related hazards, their adaptive measures for risk reduction, and their willingness to adopt CRI. This represents the fundamental input for the formulation of the CRI model. Consequently, this research proposed an operational structure as input for future implementations of the model. The results indicate that national and local disaster risk management public policies align with the sectors' needs and priorities. Strengthening sectoral associations can enhance representation in CRI projects. In-kind indemnization is preferred for women entrepreneurs and the indigenous community. The CRI model includes a risk pool through the family compensation fund of la Guajira as a sectoral agglomerator, with contingent credit and traditional/parametric insurance. The methodology developed in this study can be applied in different contexts worldwide as a guidance for informing national and international climate risk finance initiatives.

关键词： Colombia Disaster risk financing Disaster risk management la Guajira Climate risk insurance Socioeconomic vulnerability

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Task Offloading in Edge Computing Using GNNs and DQN

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2649-2671页

作者： Asier Garmendia-Orbegozo jose David Nunez-Gonzalez Miguel Angel Anton Department of Applied Mathematics University of the Basque Country UPV/EHUEibar20600Spain TECNAlIA Basque Research and Technology Alliance(BRTA)San Sebastian20009Spain

In a network environment composed of different types of computing centers that can be divided into different layers(clod,edge layer,and others),the interconnection between them offers the possibility of peer-to-peer task *** many resource-constrained devices,the computation of many types of tasks is not feasible because they cannot support such computations as they do not have enough available memory and processing *** this scenario,it is worth considering transferring these tasks to resource-rich platforms,such as Edge Data Centers or remote cloud *** different reasons,it is more exciting and appropriate to download various tasks to specific download destinations depending on the properties and state of the environment and the nature of the *** the same time,establishing an optimal offloading policy,which ensures that all tasks are executed within the required latency and avoids excessive workload on specific computing centers is not *** study presents two alternatives to solve the offloading decision paradigm by introducing two well-known algorithms,Graph Neural Networks(GNN)and Deep Q-Network(DQN).It applies the alternatives on a well-known Edge Computing simulator called PureEdgeSimand compares them with the two defaultmethods,Trade-Off and Round *** showed that variants offer a slight improvement in task success rate and workload *** terms of energy efficiency,they provided similar ***,the success rates of different computing centers are tested,and the lack of capacity of remote cloud servers to respond to applications in real-time is *** novel ways of finding a download strategy in a local networking environment are unique as they emulate the state and structure of the environment innovatively,considering the quality of its connections and constant *** download score defined in this research is a crucial feature for determining the quality of a download path

关键词： Edge computing edge offloading fog computing task offloading

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A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1085-1104页

作者： Shuo Yan Junyu Chen Minghao Wang Yongheng Yang jose M.Rodriguez STEM College RMIT UniversityMelbourneAustralia Hong Kong Polytechnic University Hong KongChina State Key laboratory of Internet of Things for Smart City(UM) Department of Electrical and Computer EngineeringUniversity of MacaoMacaoChina College of Electrical Engineering Zhejiang UniversityHangzhou 310027China Universidad San Sebastin Campus BellavistaSantiago de ChileCLSantiago de Chile 000000Chile IEEE

This paper presents a comprehensive study on the model predictive control(MPC)of doubly fed induction generators(DFIG)in wind energy conversion systems(WECS);in particular the MPC of the rotor side *** general principle of prevalent MPC strategies is discussed to introduce the theoretical framework in the first ***,mainstream and high-performance MPC methods of DFIGs have been identified as model predictive current control(MPCC),model predictive torque control(MPTC),and model predictive power control(MPPC).Starting from analyzing dynamic models,these MPC strategies are investigated in terms of operating principles and technical *** paper further investigates implementation of MPC strategies in unbalanced *** on the quantitative and qualitative analysis of several case studies,performance of various MPC schemes is compared and their special features are *** for designing MPC strategies of DFIGs in WECS are provided.

关键词： Doubly fed induction generator(DFIG) model predictive control(MPC) wind energy

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Brent *** Texas Intermediate in the US petro derivatives price formation

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Petroleum Science 2024年第1期21卷 729-739页

作者： Alejandro Almeida Antonio A.Golpe Juan Manuel Martín-Alvarez jose Carlos Vides Universidad Internacional de la Rioja Department of Quantitative Methods for Economics and BusinessLa RiojaSpain University of Huelva Department of Economics and Centro de Estudios Avanzados en FisicaMatematicas y Computacion and ICEIHuelvaSpain Complutense University of Madrid Department of Applied and Structural Economics and History and ICEIMadridSpain

In this paper,we apply the spatial panel model to explore the relationship between the dynamic of two types of crude oil prices(WTI and Brent crude oil)and their refined products over *** the turbulent months of 2011,when Cushing Oklahoma had reached capacity and the crude oil export ban removal in 2015 as breakpoints,we apply this method both in the full sample and the three resultant ***,results suggest our results show that both WTI and Brent display very similar behaviour with the refined ***,when attending to each regime,results derived from the first and third regimes are quite similar to the full sample ***,during the second regime,Brent crude oil became the benchmark in the petrol market,and it influenced the distillate ***,our model can let us determine the price-setters and price-followers in the price formation mechanism through refined *** results possess important considerations to policymakers and the market participants and the price formation.

关键词： Crude oil prices Spatial panel model Refined products Price formation

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Microalgal bioinoculants for sustainable agriculture and their interactions with soil biotic and abiotic components:A review

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Pedosphere 2024年第2期34卷 297-314页

作者： Shisy jose Nirmal RENUKA Sachitra Kumar RATHA Sheena KUMARI Faizal BUX Institute for Water and Wastewater Technology Durban University of TechnologyP.O.Box 1334Durban 4000South Africa Algal Biotechnology laboratory Department of BotanyCentral University of PunjabBathinda 151401India Phycology laboratory Council of Scientific and Industrial Research-National Botanical Research InstituteLucknowUttar Pradesh 226001India

Modern agricultural practices have posed a detrimental impact on the environment due to their intensive use to meet the food demands of an ever-increasing *** this context,microalgal bioinoculants,specifically cyanobacteria and green microalgae,have emerged as sustainable options for agricultural practices to improve soil organic carbon,nutrient availability,microbial quality,and plant *** overview of current and future perspectives on the use of microalgal bioinoculants in agriculture practices is presented in this review,along with a discussion of their interactions with soil biotic and abiotic factors that affect soil fertility,plant health,and crop *** benefits of microalgal bioinoculants include releasing agronomically important metabolites(exopolymers and phytohormones)as well as solubilizing soil ***,they function as biocontrol agents against soil-borne pathogens and facilitate the establishment of rhizosphere communities of agricultural *** far,very few studies have explored the basic mechanisms by which microalgal bioinoculants interact with soil biotic and abiotic *** recent years,advanced molecular techniques have contributed to a better understanding of these interactions.

关键词： biocontrol agent biofertilizer cyanobacteria microalgae microbial community molecular technique plant growth soil fertility

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Electrifying Ba_(0.5)Sr_(0.5)Co_(0.8)Fe_(0.2)O_(3-δ) for focalized heating in oxygen transport membranes

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Journal of Energy Chemistry 2024年第4期91卷 99-110页

作者： Marwan laqdiem Julio García-Fayos laura Almar Alfonso J.Carrillo Álvaro Represa JoséM.lópez Nieto Sonia Escolástico David Catalán-Martinez jose M.Serra Instituto de Tecnología Química(Universitat Politècnica de València–Consejo Superior de Investigaciones Científicas) Av.Los Naranjos s/nE-46022 ValenciaSpain

Industry decarbonization requires the development of highly efficient and flexible technologies relying on renewable energy resources,especially biomass and solar/wind *** the case of pure oxygen production,oxygen transport membranes(OTMs)appear as an alternative technology for the cryogenic distillation of air,the industrially-established process of producing ***,OTMs could provide oxygen from different sources(air,water,CO_(2),etc.),and they are more flexible in adapting to current processes,producing oxygen at 700^(-1)000℃.Furthermore,OTMs can be integrated into catalytic membrane reactors,providing new pathways for different *** first part of this study was focused on electrification on a traditional OTM material(Ba_(0.5)Sr_(0.5)Co_(0.8)Fe_(0.2)O_(3-δ)),imposing different electric currents/voltages along a capillary *** to the emerging Joule effect,the membrane-surface temperature and the associated O_(2) permeation flux could be ***,the OTM is electrically and locally heated and reaches 900℃on the surface,whereas the surrounding of the membrane was maintained at 650℃.The O_(2)permeation flux reached for the electrified membranes was~3.7 Nml min^(-1)cm^(-2),corresponding to the flux obtained with an OTM non-electrified at 900℃.The influence of depositing a porous Ce_(0.8)Tb_(0.2)O_(2-δ) catalytic/protective layer on the outer membrane surface revealed that lower surface temperatures(830℃)were detected at the same imposed electric ***,the electrification concept was demonstrated in a catalytic membrane reactor(CMR)where the oxidative dehydrogenation of ethane(ODHE)was carried *** reaction is very sensitive to temperature,and here,we demonstrate an improvement of the ethylene yield by reaching moderate temperatures in the reaction chamber while the O_(2) injection into the reaction can be easily fine-tuned.

关键词： Oxygen permeation Oxidative dehydrogenation of ethane Oxygen transport membranes Joule effect Mixed ionic-electronic conductors Catalytic membrane reactors

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